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Review identifies gaps in our understanding of how ML can aid stock valuation

Over the past two decades, researchers have used big data and machine learning (ML) methods to provide insight relevant for equity valuation. Many of these studies either use or inform on accounting variables. In the review, Prof. Nissim elaborates on two crucial areas that have received relatively little research attention to date: (1) the use of big data and ML methods to measure intangible assets; and (2) the incorporation of economic, financial and accounting structure in implementing ML algorithms. 

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